中国省域尺度17部门资本存量的时空特征分析     

刘丽  李宁  张正涛  冯介玲  陈曦  白扣  黄承芳 《地理科学进展》2019,38(4):546-555

随着灾害强度、频率以及承灾体暴露的增加,自然灾害造成的损失日益严重。资本存量作为承灾体的经济暴露指标之一,是灾害损失评估的前提和基础。针对目前中国缺乏省域尺度长时间序列的经济部门分类的资本存量数据基础,论文通过永续盘存法,建立了2003—2015年中国大陆31省17部门的资本存量数据库,并分析其时空特征。结果显示：① 全国总资本存量与灾害直接损失的年际变化均呈增加趋势。省域尺度上,通过相关性分析显示,在99%置信度水平上,两者呈显著正相关(r=0.3)。② 时间上,各省17部门资本存量基本也呈增加趋势,但增速不同。在各部门增速最快的省份中,黑龙江省的居民服务、修理和其他服务业增速最快,增长约454.3倍;其次是青海省的租赁和商务服务业(398.3倍)、江苏省的金融业(295.1倍)、安徽省的科学研究和技术服务业(125.1倍)等。③ 空间上,2015年各省17部门资本存量最多的前4个部门分别是房地产业,工业,交通运输、仓储和邮政业,水利、环境和公共设施管理业,占比均在60%以上;且这4个部门资本存量暴露最多的省份是江苏省和广东省。该结果有助于从时空角度了解各省各部门资本存量暴露情况,为各省灾害风险管理者的防灾减灾工作提供重要的参考价值。  相似文献   

印度尼西亚北苏拉威西红树林生态系统碳库研究     

陈顺洋  陈彬  SASTROSUWONDO Pramudji  DHARMAWAN I Wayan Ek  欧丹云  尹希杰  俞炜炜  陈光程 《海洋学报(英文版)》2018,37(12):85-91

近年来的研究指出红树林在海岸带碳固定和碳储存方面发挥着重要的作用。尽管印度尼西亚的红树林面积在全球占很大的比重，对于该地区红树林的有机碳储量和土壤有机碳来源的认识仍有限。本研究调查了印度尼西亚北苏拉威西海洋型的Wori红树林中生态系统有机碳储量及其空间分布特征，以及土壤有机碳的来源，以期加深该地区红树林“蓝碳”功能的认识。研究结果显示，Wori红树林0-50cm深度土壤中有机碳储量为15.4 kg/m²，占生态系统碳储量的主要部分（65%）。红树植物生物量和生态系统碳储量分别为8.3 kg/m²和23.7 kg/m²。土壤有机碳储量在不同离岸距离的采样站位中未表现出显著的空间分布差异，而生物量碳储量则在外滩最高。¹³C稳定同位素分析结果表明红树林土壤中蓄积的有机碳主要来源于红树林有机质，而潮水中的悬浮有机质和红树林外缘的海草并不构成红树林土壤有机碳的重要来源，它们的贡献者都低于20%。研究结果进一步证实了热带地区海洋型红树林湿地在碳储存以及红树植物对碳固定方面的重要性。  相似文献   

Wall-to-wall spatial prediction of growing stock volume based on Italian National Forest Inventory plots and remotely sensed data     

《International Journal of Applied Earth Observation and Geoinformation》2020

Spatial predictions of forest variables are required for supporting modern national and sub-national forest planning strategies, especially in the framework of a climate change scenario. Nowadays methods for constructing wall-to-wall maps and calculating small-area estimates of forest parameters are becoming essential components of most advanced National Forest Inventory (NFI) programs. Such methods are based on the assumption of a relationship between the forest variables and predictor variables that are available for the entire forest area. Many commonly used predictors are based on data obtained from active or passive remote sensing technologies. Italy has almost 40% of its land area covered by forests. Because of the great diversity of Italian forests with respect to composition, structure and management and underlying climatic, morphological and soil conditions, a relevant question is whether methods successfully used in less complex temperate and boreal forests may be applied successfully at country level in Italy.For a study area of more than 48,657 km² in central Italy of which 43% is covered by forest, the study presents the results of a test regarding wall-to-wall, spatially explicit estimation of forest growing stock volume (GSV) based on field measurement of 1350 plots during the last Italian NFI. For the same area, we used potential predictor variables that are available across the whole of Italy: cloud-free mosaics of multispectral optical satellite imagery (Landsat 5 TM), microwave sensor data (JAXA PALSAR), a canopy height model (CHM) from satellite LiDAR, and auxiliary variables from climate, temperature and precipitation maps, soil maps, and a digital terrain model.Two non-parametric (random forests and k-NN) and two parametric (multiple linear regression and geographically weighted regression) prediction methods were tested to produce wall-to-wall map of growing stock volume at 23-m resolution. Pixel level predictions were used to produce small-area, province-level model-assisted estimates. The performances of all the methods were compared in terms of percent root mean-square error using a leave-one-out procedure and an independent dataset was used for validation. Results were comparable to those available for other ecological regions using similar predictors, but random forests produced the most accurate results with a pixel level R² = 0.69 and RMSE_% = 37.2% against the independent validation dataset. Model-assisted estimates were more precise than the original design-based estimates provided by the NFI.  相似文献   

堆积阶地古老滑坡识别方法及其在线状工程地质勘察中的应用     

安玉科  樊江  马胜午  马建全  高娟  毛立军 《吉林大学学报(地球科学版)》2020,50(6):1787-1794

阶地型古老滑坡体形成后，长期受各种营力影响，导致古老滑坡地貌形态破坏严重甚至消失。目前遥感技术和普通工程地质调绘很难发现这些滑坡的存在，给工程建设和后期运营造成较大安全隐患。为准确识别形态特征不明显的古老滑坡体，从阶地物质结构特征演变入手，找到阶地受剪切破坏产生的典型物质结构特征，将地层结构错断、卵砾石异常定向排列、摩擦镜面和泥包粒的眼球构造等作为滑坡准确识别依据。首先采用沿沟谷进行工程地质测绘的纵横交错追踪法确定滑坡体纵向范围和滑面形状，再结合地貌特征推测各级、块滑坡平面范围和分布，最后用点状勘探工程验证和校正推测结论。可将其总结为由"地貌异常、沿沟追踪、面上推断、点状校验"组成的阶地型滑坡识别方法，即物质结构异常推断法。结合线状工程勘察设计各阶段工作特点，提出线状工程前期工作中阶地型滑坡识别步骤，并在临渭高速公路工程建设项目中取得成功应用。  相似文献   

Otolith microchemistry indicates regional phylopatry in the larval phase of an amphidromous fish (Gobiomorphus hubbsi)     

Manna L. Warburton  Gerard P. Closs 《新西兰海洋与淡水研究杂志》2018,52(3):398-408

Knowledge of stock structure is key for the effective management of any fish species. Amphidromous fish, which live and spawn in freshwater but spend a pelagic larval period at sea, have typically been assumed to disperse widely during their larval phase, resulting in populations being sourced from a single unstructured larval pool. We used otolith microchemical analysis to examine the stock structure of bluegill bully (Gobiomorphus hubbsi), a declining amphidromous eleotrid endemic to New Zealand, along the west coast of South Island, New Zealand. Some drainages – even those in close proximity (c. 20?km) – were readily distinguishable based on otolith trace element concentrations, while little structure was evident between other geographically disparate locations. These results indicate that, at least in some cases, locally retained larvae, rather than a single unstructured larval pool, dominates recruitment. Management of bluegill bully and other amphidromous species must therefore consider the possibility of regionally distinct populations.  相似文献   

海洋环境因子对澳洲鲐亲体补充量关系的影响——基于贝叶斯模型平均法的研究   总被引：1，自引：1，他引：0  

张畅  陈新军 《海洋学报》2019,41(2):99-106

澳洲鲐（Scomber australasicus）是西北太平洋重要的中上层经济鱼类，生命周期相对较短，资源量受补充量影响明显，了解澳洲鲐太平洋群系补充量状况对掌握其资源量及确保其可持续利用具有重要的意义。本文利用产卵场1（30°~32°N，130°~132°E）海表面温度（sea surface temperature，SST1）、产卵场2（34°~35°N，138°~141°E）海表面温度（SST2）、索饵场（35°~45°N，140°~160°E）海表面温度（SST3）、潮位差（tidal range，TR）、太平洋年代际涛动（Pacific decadal oscillation，PDO）和亲体量（spawning stock biomass，SSB）6个影响因子任意组合与补充量构建多个模型，运用贝叶斯模型平均法（Bayesian model averaging，BMA）分析各个环境因子对资源补充量的解释能力，并预测其补充量的变化。结果表明，SSB对补充量具有最长期且稳定的解释能力，其次是SST3，PDO、TR、SST2、SST1也对补充量模型具有一定的解释能力。SST3是环境因子中影响最大的因子，可能是由于补充群体在索饵场内生活时间较长，索饵场温度对仔鱼或鱼卵的生长存活有较大的影响。研究认为，基于BMA的组合预报综合考虑了各个模型的优势，优于单一模型，可用于澳洲鲐资源补充量的预测。  相似文献   

Analysis of Stock Market Development and CO2 Emissions on OECD Countries via an Empirical Model     

Zhigang Li  Wei‐Ting Chen  I‐Chia Chang  Joe‐Ming Lee 《洁净——土壤、空气、水》2020,48(4)

Accompanying economic growth, CO₂ emissions have polluted the natural environment worldwide. This study highlights the special problems with stock market development and CO₂ emissions in 25 Organization for Economic Cooperation and Development (OECD) countries during 1971–2007 to trace the trend of CO₂ emissions while countries grow their economies. A panel‐data model is applied to analyze the relationships between stock market (SM) development, energy consumption, gross domestic product (GDP), and CO₂ emissions in 25 OECD countries. Low‐GDP countries show different results from high‐GDP countries in the trends of SM development and CO₂ emissions, and dynamic effects occur in SM development and CO₂ emissions under various GDP conditions. There is a negative relationship between SM development and CO₂ emissions if countries enjoy high economic growth, which means that these countries avoid CO₂ emissions through SM development. However, a positive relationship is found between SM development and CO₂ emissions if countries experience low economic growth, which means that SM development does not show the boycott‐effect relationship with CO₂ emissions when countries experience low levels of economic development. This study shows a correlation between SM development and CO₂ emissions among OECD countries.  相似文献   

广西来宾市北敢堆积型铝土矿地质特征及找矿标志     

徐勇  林权  林大统  柳美军 《矿产与地质》2021,(1):58-62

在分析研究区域成矿地质背景、矿床地质特征的基础上,对矿床成因进行了初步探讨,总结了找矿标志。认为矿源层来自上二叠统合山组底部与中二叠统茅口组顶部的古侵蚀间断面上的原生铁铝岩(铝土矿);成矿过程经历了原生铁铝岩的形成、初始堆积铝土矿的形成和改造富集成矿三个阶段后再次遭受风化、剥蚀、搬运和堆积,最终堆积型铝土矿在岩溶坡地和丘陵等高地上分布较多,而在低洼处分布较少甚至未见出露。对矿区外围寻找新的堆积型铝土矿资源具有一定的指导意义。  相似文献   

Carbon stock of oil palm plantations and tropical forests in Malaysia: A review          下载免费PDF全文

Lip Khoon Kho  Martin Rudbeck Jepsen 《Singapore journal of tropical geography》2015,36(2):249-266

In Malaysia, the main land change process is the establishment of oil palm plantations on logged‐over forests and areas used for shifting cultivation, which is the traditional farming system. While standing carbon stocks of old‐growth forest have been the focus of many studies, this is less the case for Malaysian fallow systems and oil palm plantations. Here, we collate and analyse Malaysian datasets on total carbon stocks for both above‐ and below‐ground biomass. We review the current knowledge on standing carbon stocks of 1) different forest ecosystems, 2) areas subject to shifting cultivation (fallow forests) and 3) oil palm plantations. The forest ecosystems are classified by successional stage and edaphic conditions and represent samples along a forest succession continuum spanning pioneer species in shifting cultivation fallows to climax vegetation in old‐growth forests. Total carbon stocks in tropical forests range from 4 to 384 Mg C/ha, significantly wider than the range of total carbon stocks of oil palm plantations, 2 to 60 Mg C/ha. Conversion of old‐growth forest areas to oil palm plantations leads to substantial reduction in carbon storage, while conversion of forest fallows to oil palm plantations may sustain or even increase the standing carbon stock.  相似文献   

甘肃滴水山金矿地质地球化学特征及找矿标志          下载免费PDF全文

王学银  何平平 《甘肃地质》2015,24(3):58-62

滴水山金矿位于北祁连加里东褶皱带西北边缘,矿床受控于近EW向展布的韧性剪切带中,并与NE向的阿尔金断裂组成"λ"字型构造。通过岩屑测量共圈定12个化探综合异常,其中AR1、AR2和Au8化探综合异常走向呈近EW向,元素组合为Au、Ag、Cu、Pb、As、Sb、Hg等,各元素异常衬度和规模较大,且分带明显,具有较好的找矿前景。经后期工程揭露,发现了有价值的金矿体,总结了找矿方法和找矿标志。根据矿床地质特征认为该矿床为火山岩区脆-韧性剪切带型构造蚀变岩型金矿床。  相似文献